Hi, I have a numpy np.array data x:
x= np.array([[157, 185], [169, 195], [162, 179], [145, 195], [159, 199], [165, 180], [172, 195], [180, 201], [163, 195], [169, 191]]) Here is the original code snippet: x+=uniform(-8, 8, x.shape) x Out[557]: array([[163, 192], [163, 187], [171, 200], [165, 186], [162, 185], [160, 193], [156, 194], [168, 197], [186, 207], [184, 208]]) I am curious about the integer data type of result x. When I use this code: x0=x+uniform(-8, 8, x.shape) x0 is a floating format: x0 Out[555]: array([[ 150.84633535, 188.93254259], [ 170.29185044, 197.22753051], [ 175.65371771, 190.59168953], [ 159.61401655, 175.06364015], [ 168.35531363, 180.19243277], [ 163.79970077, 206.28600694], [ 157.89342616, 203.39444556], [ 179.86956647, 192.91265609], [ 182.48075601, 208.02397713], [ 187.59332123, 207.41482024]]) I would like to know what rule makes these two different result formats. Could you help me? Thanks, -- https://mail.python.org/mailman/listinfo/python-list